Guide to Connectomes
Connectomes.Connectome — TypeConnectome(path::String; norm=true)Main type introduced by Connectomes.jl,
struct Connectome
parc::DataFrame
graph::SimpleWeightedGraph{Int64, Float64}
n_matrix::Matrix{Float64}
l_matrix::Matrix{Float64}
endwhere parc is the parcellation atlas, graph is a SimpleWeightedGraph encoding a weighted Connectome, n_matrix is the length matrix and l_matrix is the length matrix.
Example
julia> filter(Connectome(Connectomes.connectomepath()), 1e-2)
Parcellation:
83×8 DataFrame
Row │ ID Label Region Hemisphere x y z Lobe
│ Int64 String String String Float64 Float64 Float64 String
─────┼─────────────────────────────────────────────────────────────────────────────────────────────────────
1 │ 1 lateralorbitofrontal cortical right 25.0057 33.4625 -16.6508 frontal
2 │ 2 parsorbitalis cortical right 43.7891 41.4659 -11.8451 frontal
3 │ 3 frontalpole cortical right 9.59579 67.3442 -8.94211 frontal
4 │ 4 medialorbitofrontal cortical right 5.799 40.7383 -15.7166 frontal
5 │ 5 parstriangularis cortical right 48.3993 31.8555 5.60427 frontal
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮
80 │ 80 Left-Accumbens-area subcortical left -8.14103 11.416 -6.32051 subcortex
81 │ 81 Left-Hippocampus subcortical left -25.5001 -22.6622 -13.6924 temporal
82 │ 82 Left-Amygdala subcortical left -22.7183 -5.11994 -18.8364 temporal
83 │ 83 brainstem subcortical none -6.07796 -31.5015 -32.8539 subcortex
74 rows omitted
Adjacency Matrix:
83×83 SparseArrays.SparseMatrixCSC{Float64, Int64} with 392 stored entries:
⣮⢛⣣⡠⠀⠀⠀⠀⠀⠀⠀⡁⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠉⡺⢺⠒⣒⠄⢀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠂⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠘⠜⠚⣠⣐⡐⠀⠀⣀⡄⠀⠀⠀⠀⠀⠈⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠐⢐⠸⢴⡳⡄⠌⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⡀⠍⠯⡧⡄⠀⠀⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠄⠠⠀⠄⠀⠼⠁⠀⠀⠉⠯⡣⣄⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄
⠀⠀⠀⠀⠀⠀⠀⠀⠤⠄⠀⠝⠏⠅⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠁
⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡎⡭⡦⠂⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀
⠀⠀⠈⠠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠨⠋⡏⡩⡕⠀⠄⠀⠀⠐⠐⠀⠀⠀
⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⠉⠡⡦⢥⠁⠀⢰⠶⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠅⠓⢯⣳⣐⠂⠀⠀⢀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⢀⣀⠰⠘⢺⣲⣀⠀⠘⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠂⠐⠀⠘⠃⠀⠀⠀⠘⢪⣲⣔⡂
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠄⠀⠀⠀⠀⠀⠀⠀⠀⠐⠒⠀⠰⠹⠐⠀Plotting Example
using JSServe
Page(exportable=true, offline=true)using WGLMakie
using Connectomes
plot_cortex()